Optimal use of regularization and cross-validation in neural network modeling. - Dingding Chen; Martin T. Hagan (IJCNN, 1999)

Variable Input Neural Network Ensembles in Generating Synthetic Well Logs. - Dingding Chen; John Quirein; Harry Smith; Syed Hamid; Jeff Grable; S. Reed (IJCNN, 2006)

Construction of surrogate model ensembles with sparse data. - Dingding Chen; Allan Zhong; John Gano; Syed Hamid; Orlando De Jesus; Stan Stephenson (IEEE Congress on Evolutionary Computation, 2007)

FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection. - Zexun Zhou; Zhongshi He; Ziyu Chen; Yuanyuan Jia; Haiyan Wang; Jinglong Du; Dingding Chen (CoRR, 2017)

FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection. - Zexun Zhou; Zhongshi He; Ziyu Chen; Yuanyuan Jia; Haiyan Wang; Jinglong Du; Dingding Chen; Lulu Wang 013; Jing Chen (IJCNN, 2018)

A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique. - Ziyu Chen; Xingqiong Jiang; Yanchen Deng; Dingding Chen; Zhongshi He (AAAI, 2019)

PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems. - Yanchen Deng; Ziyu Chen; Dingding Chen; Xingqiong Jiang; Qiang Li (AAMAS, 2019)

AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems. - Yanchen Deng; Ziyu Chen; Dingding Chen; Wenxin Zhang 002; Xingqiong Jiang (IJCAI, 2019)

A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique. - Ziyu Chen; Xingqiong Jiang; Yanchen Deng; Dingding Chen; Zhongshi He (CoRR, 2019)

Virtual Inpainting for Dazu Rock Carvings Based on a Sample Dataset. - Haiyan Wang; Zhongshi He; Dingding Chen; Yongwen Huang; Yiman He (ACM Journal on Computing and Cultural Heritage, 2019)

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. - Dingding Chen; Yanchen Deng; Ziyu Chen; Wenxin Zhang 002; Zhongshi He (AAAI, 2020)

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference. - Ziyu Chen; Wenxin Zhang 002; Yanchen Deng; Dingding Chen; Qiang Li (AAMAS, 2020)

A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems. - Dingding Chen; Yanchen Deng; Ziyu Chen; Zhongshi He; Wenxin Zhang 002 (Auton. Agents Multi Agent Syst., 2020)

3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads. - Zexun Zhou; Zhongshi He; Meifeng Shi; Jinglong Du; Dingding Chen (Comput. Biol. Medicine, 2020)

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences. - Ziyu Chen; Wenxin Zhang 002; Yanchen Deng; Dingding Chen; Qing Li (CoRR, 2020)

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. - Jinglong Du; Zhongshi He; Lulu Wang 013; Ali Gholipour; Zexun Zhou; Dingding Chen; Yuanyuan Jia (Neurocomputing, 2020)

A Bound-Independent Pruning Technique to Speeding up Tree-Based Complete Search Algorithms for Distributed Constraint Optimization Problems. - Xiang-Shuang Liu; Ziyu Chen; Dingding Chen; Junsong Gao (CP, 2021)

Beyond Uninformed Search: Improving Branch-and-bound Based Acceleration Algorithms for Belief Propagation via Heuristic Strategies. - Junsong Gao; Ziyu Chen; Dingding Chen; Wenxin Zhang 002 (AAMAS, 2022)

Completeness Matters: Towards Efficient Caching in Tree-Based Synchronous Backtracking Search for DCOPs. - Jie Wang; Dingding Chen; Ziyu Chen; Xiang-Shuang Liu; Junsong Gao (CP, 2022)

An Improved Method for Making CNN Immune to Backdoor Attack by Activating Clustering. - Yuang Zhou; Yichen Lei; Limin Yu; Xianyao Li; Dingding Chen; Tongpo Zhang (ISCSIC, 2022)

Learning heuristics for weighted CSPs through deep reinforcement learning. - Dingding Chen; Ziyu Chen; Zhongshi He; Junsong Gao; Zhizhuo Su (Appl. Intell., 2023)

Inference-based complete algorithms for asymmetric distributed constraint optimization problems. - Dingding Chen; Ziyu Chen; Yanchen Deng; Zhongshi He; Lulu Wang 013 (Artif. Intell. Rev., 2023)

MATE: When multi-agent Deep Reinforcement Learning meets Traffic Engineering in multi-domain networks. - Zeyu Luan; Qing Li 006; Yong Jiang 001; Jingpu Duan; Ruobin Zheng; Dingding Chen; Shaoteng Liu (Comput. Networks, 2024)

DHNet: A Distributed Network Architecture for Smart Home. - Chaoqi Zhou; Jingpu Duan; Yupeng Xiao; Qing Li 006; Dingding Chen; Ruobin Zheng; Shaoteng Liu (CoRR, 2024)

Toward fast belief propagation for distributed constraint optimization problems via heuristic search. - Junsong Gao; Ziyu Chen; Dingding Chen; Wenxin Zhang 002; Qiang Li (Auton. Agents Multi Agent Syst., 2024)